AI Developer – Agentic AI

iROW9 INC; Minnesota; Hybrid; USD 110,000 - 160,000; Full time

Job summary

iROW9 INC. is seeking an AI Developer to build production-grade Agentic AI and RAG solutions for an enterprise AI platform. The role emphasizes LangGraph/LangChain, multi-agent orchestration, Python/FastAPI, and LLM evaluation, with Azure experience as a plus. Location is Hybrid/Onsite in Minnesota.

The candidate will deliver end-to-end RAG pipelines, multi-agent systems, and containerized services, working with React/Next.js frontends and enterprise data sources.

Qualifications

• 4-6 years of hands-on software engineering experience, including 2-3 years building LLM/Agentic AI solutions.
• Proven experience shipping production RAG systems with real users and real retrieval-quality challenges.
• Strong code-level experience with LangGraph, LangChain, AutoGen, Microsoft Agent Framework, Semantic Kernel, CrewAI, or comparable agent frameworks.
• Strong Python development skills with FastAPI, async programming, and API design.
• Experience with RAG, embeddings, vector stores, hybrid search, grounding and citations.
• Experience with LLM prompt engineering, structured outputs, evaluation and quality control.
• Ability to work independently, learn rapidly, and deliver production software.
• Working proficiency with React/Next.js and TypeScript.

Responsibilities

• Build and maintain end-to-end production RAG pipelines, including ingestion, parsing, chunking, embeddings, vector/hybrid search, reranking, grounding, and citations.
• Develop multi-agent systems using supervisor/specialist patterns, tool calling, agent state, and agent-to-agent communication.
• Build and govern MCP tool contracts for retrieval and operational data.
• Develop LLM evaluation and quality frameworks, including prompt versioning, regression testing, retrieval/answer evaluation, and hallucination control.
• Design async Python/FastAPI services with OpenAPI-native APIs for AI, agent, and retrieval capabilities.
• Build AI-powered user experiences using React/Next.js and TypeScript.
• Integrate enterprise data sources including Microsoft Graph, SharePoint, HRIS/LMS platforms.

Skills

LLM/Agentic AI

Python

FastAPI

Async programming

API design

React/Next.js

TypeScript

LangGraph

LangChain

AutoGen

Microsoft Agent Framework

Semantic Kernel

CrewAI

Azure AI (preferred)

Tools

pgvector

FAISS

Pinecone

PostgreSQL

Redis

Job description

Summary

Hands-on AI Developer building production-grade Agentic AI and RAG solutions for an enterprise AI platform. Strong experience with LangGraph/LangChain, multi-agent orchestration, Python/FastAPI, and LLM evaluation is required. Azure experience is a plus, but strong AI engineering experience on any cloud is considered.

Title: AI Developer – Agentic AI
Job Type: Full-Time (Contract-to-Hire)
Location: Hybrid/Onsite - Minnesota

Responsibilities

• Build and maintain end-to-end production RAG pipelines, including ingestion, parsing, chunking, embeddings, vector/hybrid search, reranking, grounding, and citations.


• Develop multi-agent systems using supervisor/specialist patterns, tool calling, agent state, and agent-to-agent communication.


• Build and govern MCP tool contracts for retrieval and operational data.


• Develop LLM evaluation and quality frameworks, including prompt versioning, regression testing, retrieval/answer evaluation, and hallucination control.


• Design async Python/FastAPI services with OpenAPI-native APIs for AI, agent, and retrieval capabilities.


• Build AI-powered user experiences using React/Next.js and TypeScript.


• Integrate enterprise data sources including Microsoft Graph, SharePoint, HRIS/LMS platforms.


• Deliver working software through weekly demos and milestone-driven development.


• Build and deploy containerized services using technologies such as PostgreSQL and Redis.

Required Skills

• 4-6 years of hands-on software engineering experience, including 2-3 years building LLM/Agentic AI solutions.


• Proven experience shipping production RAG systems with real users and real retrieval-quality challenges.


• Strong, code-level experience with LangGraph, LangChain, AutoGen, Microsoft Agent Framework, Semantic Kernel, CrewAI, or comparable agent frameworks.


• Strong Python development skills with FastAPI, async programming, and API design.


• Experience with RAG, embeddings, vector stores, hybrid search, semantic reranking, grounding, and citations.


• Experience with LLM prompt engineering, structured outputs, evaluation, and quality control.


• Ability to work independently, learn rapidly, adapt to new AI frameworks/models, and deliver production software.


• Working proficiency with React/Next.js and TypeScript.

Preferred Skills

• Azure AI: Azure OpenAI, Azure AI Search, Azure AI Foundry, Container Apps, Entra ID/MSAL.


• Experience with vector technologies such as pgvector, FAISS, Pinecone, Azure AI Search, or similar.


• Experience with RAGAS or comparable evaluation frameworks.


• Experience with PostgreSQL, Redis, and containerized deployments.


• Experience delivering Agentic AI solutions specifically on Azure.